Identifying oil species in oil mixtures

Research output: Contribution to conferenceOther contribution to conferencepeer-review

Abstract

Detection of adulteration of non-processed vegetable oil with lesser value seed oils (classic example is hazelnut in virgin olive oil) has been in the centre of scientific attention for many years and several chemical methods were proposed. The recent EC Regulation 1169/2011, however, introduces necessity for different analytical method in a more complicated matrix. From the end of 2014, food businesses required to declare the composition of the refined oil mixture in the food product label. This creates a gap since there is no analytical method currently available to perform such analysis. In the first phase the work focused on 100% oil blends of various oil species of palm oil (and derivatives), sunflower and rapeseed oil before expanding to foodstuffs. Chromatographic methods remain highly relevant although suffer from various limitations which derive from natural compositional variation. Modern multivariate techniques based on machine learning algorithms, however, when applied in FTIR, Raman spectroscopic data have a strong potential in tackling the problem.
Original languageEnglish
Publication statusPublished - 27 Feb 2014
EventFera: Food Fraud Analytical Conference - York, United Kingdom
Duration: 27 Feb 2014 → …

Conference

ConferenceFera: Food Fraud Analytical Conference
Country/TerritoryUnited Kingdom
CityYork
Period27/02/2014 → …

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